Search alternatives:
auction algorithm » detection algorithm (Expand Search)
method algorithm » mould algorithm (Expand Search)
based methods » based method (Expand Search), mixed methods (Expand Search)
data auction » data fusion (Expand Search)
element » elements (Expand Search)
Showing 121 - 140 results of 518 for search '(( element method algorithm ) OR ((( data auction algorithm ) OR ( based methods algorithm ))))', query time: 0.13s Refine Results
  1. 121
  2. 122

    Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study by Alaa Abd-alrazaq (17058018)

    Published 2024
    “…Our approach is based on the BERTopic topic modeling technique, which leverages transformers and class-based term frequency-inverse document frequency to create dense clusters allowing for easily interpretable topics. …”
  3. 123

    Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification by Rajendra Babu Chikkala (22330876)

    Published 2025
    “…<p dir="ltr">In recent years, deep learning methods have dramatically improved medical image analysis, though earlier models faced difficulties in capturing intricate spatial and contextual details. …”
  4. 124

    Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review by Zainab Jan (17306614)

    Published 2023
    “…A higher level of accuracy (99%) was found in studies that used support vector machine, decision trees, and k-means clustering algorithms. </p><h3>Conclusions </h3><p dir="ltr">This review presents an overview of studies based on AI models and algorithms used to predict and diagnose pancreatic cancer patients. …”
  5. 125

    Multiclass feature selection with metaheuristic optimization algorithms: a review by Abu Zitar, Raed

    Published 2022
    “…Metaheuristic algorithms have also been presented in four primary behavior-based categories, i.e., evolutionary-based, swarm-intelligence-based, physics-based, and human-based, even though some literature works presented more categorization. …”
    Get full text
  6. 126

    A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem by Mantawy, A. H.

    Published 2020
    “…This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. …”
    Get full text
    article
  7. 127

    A simulated annealing algorithm for fuzzy unit commitment problem by Mantawy, A.H.

    Published 1999
    “…This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. …”
    Get full text
    Get full text
    article
  8. 128

    Economic load dispatch using memetic sine cosine algorithm by Abu Zitar, Raed

    Published 2022
    “…SCA is a recent population based optimizer turned towards the optimal solution using a mathematical-based model based on sine and cosine trigonometric functions. …”
    Get full text
  9. 129

    A Survey of cuckoo search algorithm: optimizer and new applications by Abualigah, Laith

    Published 2024
    “…Cuckoo search (CS) is an efficient swarm intelligence-based algorithm that has come a long way since its start in 2009. …”
    Get full text
  10. 130

    Parameter Estimation Of Wiener-Hammerstein Models Via Genetic Algorithms by Emara-Shabaik, Husam

    Published 2020
    “…Numerical simulations are presented to illustrate the effectiveness of the proposed algorithm based on different input signals, and different noise-to-signal ratios of the output. …”
    Get full text
    article
  11. 131

    An efficient method for the open-shop scheduling problem using simulated annealing by Harmanani, Haidar M.

    Published 2016
    “…The method is based on a simulated annealing algorithm that efficiently explores the solution space. …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
  12. 132

    Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm by Nasser, Youssef

    Published 2024
    “…This work aims to enhance the performance of the K-means algorithm by introducing a novel method for selecting the initial centroids, thereby minimizing randomness and reducing the number of iterations needed to reach optimal results. …”
    Get full text
    Get full text
    Get full text
    masterThesis
  13. 133
  14. 134

    A new minimum curvator multi-step method for unconstrained optimization by Obeid, Samir

    Published 1998
    “…Our derivation of the new algorithm is based on determining some value of the parameter that minimizes the curvature in some chosen metric. …”
    Get full text
    Get full text
    Get full text
    conferenceObject
  15. 135

    An incremental approach for test scheduling and synthesis using genetic algorithms by Harmanani, H.

    Published 2017
    “…The method is based on a genetic algorithm that efficiently explores the testable design space. …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
  16. 136

    Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms by Harmanani, H. M.

    Published 2007
    “…The method is based on a genetic algorithm that efficiently explores the testable design space and finds a sub-optimal test registers assignment for each k-test session. …”
    Get full text
    Get full text
    Get full text
    article
  17. 137

    Power Control Algorithms for Media Transmission in Remote Healthcare Systems by Ali Hassan Sodhro (18629392)

    Published 2018
    “…Thus, this paper first proposes a transmission power control (TPC)-based energy-efficient algorithm (EEA) for when a subject is in different postures, i.e., standing, walking, and running, in wireless body sensor networks. …”
  18. 138
  19. 139
  20. 140

    Development of a cerebral aneurysm segmentation method to prevent sentinel hemorrhage by Yousra Regaya (17788964)

    Published 2023
    “…A robust brain aneurysm segmentation has the potential to prevent the blood leakage, also known as sentinel hemorrhage. Here, we present a method combining a multiresolution and a statistical approach in two dimensional domain to segment cerebral aneurysm in which the Contourlet transform (CT) extracts the image features, while the Hidden Markov Random Field with Expectation Maximization (HMRF-EM) segments the image, based on the spatial contextual constraints. …”